In this track, contestants will be challenged to create algorithms that support the analysis and modeling of a set of provided "rules and guidelines." In turn, these algorithms can be applied to support informed decision-making.
The details of this challenge will revolve around the current COVID-19 crisis. The ideas you generate could directly impact preparations for future global health emergencies.
COMPETITION INSIGHT AND PREPAREDNESS
Track 2 will feature three separate team challenges, each requiring varying skill levels and expertise.
Game 1 - Spectrum Labeling
What makes a situation safe? What makes it different? Can you develop a program to navigate future pandemics? Recent events have demonstrated an ongoing struggle to determine what is "safe" during a pandemic. In this game, contestants will be tasked with utilizing readily available information, such as 100+ pages of the CDC Guidelines, and developing an algorithm to map a spectrum of scenarios, from safe to dangerous, to reduce the spread of COVID-19.
Game 2 - Dangerous Situations
Pandemics are a prime area for extreme situations to arise. How we best handle unique situations will be up to you. What should someone do when they contract COVID-19? What precautions should doctors treating COVID take? What should someone do if they come in contact with COVID? Contestants will be tasked with developing an AI that provides solutions for these extreme conditions. When designing the AI, you'll have access to data from real-world doctors and how they are handling these situations. This information technology could help the public in a future extreme event.
Game 3 - Optimizing Resources
Skillfully allocating medical resources during a pandemic can save lives. Unexpected and extreme medical events not only disrupt hospitals' normal routines and protocol, but strain resources such as trained staff, space and pharmaceuticals, in addition to PPE and life-saving medical equipment. Determining how to most effectively allocate these resources is paramount to assuring the wellbeing of Sailors far from port.
In this scenario, you will oversee the medical bay of the USS GHOST where COVID-19 has taken hold of the crew. Your task is to create an algorithm to deploy the ship's available resources in a manner that will ensure as many Sailors as possible recover from the virus.
Machine learning and AI will play an increasingly large role in all types of decision making. Results from this track will influence the Navy’s ethical adoption of AI in a future extreme event.
Results from this track will help the U.S. Navy tackle the ethical adoption of natural language processing and resource allocation in future crisis.